Conference item
Multi-task SonoEyenet: detection of fetal standardized planes assisted by generated sonographer attention maps
- Abstract:
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We present a novel multi-task convolutional neural network called Multi-task SonoEyeNet (M-SEN ) that learns to generate clinically relevant visual attention maps using sonographer gaze tracking data on input ultrasound (US) video frames so as to assist standardized abdominal circumference (AC) plane detection. Our architecture consists of a generator and a discriminator, which are trained in an adversarial scheme. The generator learns sonographer attention on a given US video frame to predi...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Accepted manuscript, pdf, 1.5MB)
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- Publisher copy:
- 10.1007/978-3-030-00928-1_98
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Funding
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Journal:
- Lecture Notes in Computer Science Journal website
- Series:
- Lecture Notes in Computer Science
- Host title:
- Medical Image Computing and Computer Assisted Intervention – MICCAI 2018
- Publication date:
- 2018-09-16
- Acceptance date:
- 2018-05-25
- DOI:
- EISSN:
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1611-3349
- ISSN:
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0302-9743
- Source identifiers:
-
854811
- ISBN:
- 9783030009281
Item Description
- Keywords:
- Pubs id:
-
pubs:854811
- UUID:
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uuid:0198daa3-fcc0-4b5f-817a-ffdf6bd5e6c7
- Local pid:
- pubs:854811
- Deposit date:
- 2018-06-04
Terms of use
- Copyright holder:
- Springer
- Copyright date:
- 2018
- Notes:
- Copyright Springer Nature Switzerland AG 2018. This paper has been presented at the 21st International Conferences on Medical Image Computing and Computer Assisted Interventions (MICCAI 2018), 16-20 September 2018, Granada, Spain.
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